Software Engineer - Site Reliability Engineering

Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team The Site Reliability Engineering team’s mission is to improve the reliability of Neo4j’s DBaaS product: Neo4j Aura. Operating at a global scale across all three major cloud providers, Aura runs hundreds of Kubernetes clusters and hosts thousands of Neo4j instances in production at any given time. We’re reshaping what SRE means at Neo4j Aura—and we want you to be part of that journey. Rather than firefighting or chasing alerts, we’re helping teams design for reliability from day one. That means building the tools, practices, and culture that embed SRE principles at the heart of how Aura operates. You’ll be joining a team focused on long-term resilience, engineering excellence, and meaningful collaboration with product teams. The Role * Automate for insight and scale: Build systems that make troubleshooting fast, safe, and scalable across thousands of Neo4j instances. From internal tools that surface clear insights to canaries that support safe rollouts, you’ll focus on automation that elevates reliability engineering. * Treat operations as a software problem: Replace tribal knowledge and ad-hoc scripts with tools and systems that codify best practices—making operations predictable, scalable, and repeatable. * Design for resilience, learn from failure: Own and evolve the tooling and processes behind incident response. From clear alerts to blameless reviews, you’ll help ensure teams respond with confidence and learn with clarity. * Champion reliability as a product feature: Help teams define and act on SLIs and SLOs, turning reliability into a shared, data-driven priority across engineering. * Create signals, not noise: Shape an observability stack that tells us what matters, when it matters—so we can detect issues early and resolve them quickly. WE'RE INTERESTED IN HEARING FROM ENGINEERS WITH DEEP EXPERIENCE IN SOME OF THE FOLLOWING AREAS * Writing backend tools and automation in Go—our primary language—with an emphasis on sound architecture, testing, and maintainability. Strong software skills in other languages, like Python, are also welcome. * Applying SRE practices in real-world environments: defining SLIs and SLOs, reducing toil through automation, and driving reliability through engineering. * Collaborating with other teams to promote SRE thinking—educating on principles like observability, ownership, and service level objectives. * Troubleshooting large-scale, cloud-based systems with confidence and curiosity. * Monitoring distributed systems and understanding their performance characteristics. * Designing systems with reliability, safety, and debugability as first-class concerns. * Working with observability tools like OTel Collector, Prometheus, Grafana, and Google Cloud’s operations suite. * Deploying and managing applications on Kubernetes; cluster-level administration is a plus. * Managing infrastructure with Kustomize and Terraform—keeping it clear, modular, and easy to evolve. * Building and maintaining CI/CD workflows—ours run on GitHub Actions. * Participating in on-call rotations and incident response with a focus on improvement, not blame. * Writing and contributing to postmortems that lead to meaningful, lasting changes. #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Lovable Labs Sweden AB

TL;DR We’re looking for an exceptional software engineer with a systems mindset to build and evolve the core software behind the future of AI software engineering. You will design, ship, and own critical services and systems that power Lovable - making sure they're fast, reliable, and ready for whatever scale throws at them. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for Deep experience building and operating production infrastructure as a Software Engineer, Systems Engineer, Site Reliability Engineer or similar. You write clean, performant code and understand what happens all the way down - from the API layer to the runtime. Familiarity with container orchestration and sandboxing at a level deeper than configuration. You understand how schedulers, runtimes, and isolation boundaries actually work, not just how to deploy on top of them. Strong proficiency in at least one systems-oriented language (Go, Rust, C++, or similar) You have a track record of designing services that handle high throughput and unpredictable load at a global tech company or scale-up. You’re comfortable navigating ambiguity and solving problems as they arise. You care about security, stability, and speed and know when to make trade-offs between them. You’re based in Stockholm or ready to relocate - this is an on-site, 5-days-a-week role. What you’ll do In one sentence: Design, build and own the systems that makes AI engineering work for everyone. Design, build and maintain the systems that enable our AI product, such as: Gvisor-based runtime environment for running agentic workloads. A high-throughput sandbox scheduler across multiple cloud providers, built on deep understanding of the orchestration layer rather than off-the-shelf abstractions. Harden our infrastructure against failures, downtime, and slowdowns. Support our growth by making sure that our infrastructure never becomes a bottleneck. Plan and implement our network infrastructure and cloud strategy. Identify and drive reliability improvement efforts across all engineering teams. Our tech stack We're building with tools that both humans and AI love. Lovable software engineers are capable of working across the whole stack. Examples of tech in our stack include: Frontend: React and Typescript. Backend: Golang and Rust. Cloud: Cloudflare, GCP, AWS, Modal. Data: Clickhouse, Firestore, Spanner, BigQuery. DevOps & Tooling: CI/CD pipelines, OTEL, Kubernetes, Terraform. And always on the lookout for what's next! About your application Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join We treat all candidates equally - if you’re interested please apply through our careers portal

Workday Sweden Aktiebolag

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. About the Role As an Infrastructure Engineer, you will support our engineering teams by building and maintaining the technical foundation that enables our products to scale. You'll work on cloud infrastructure, deployment systems, and developer tooling, serving as a technical partner to other engineering teams while focusing on reliability and performance. In this role, you will Be the backbone of our ambitious goals, ensuring our infrastructure is robust and scalable. Support feature development teams with infrastructure decisions and deployments. Act as Site Reliability Engineer (SRE) and continuously enhance our Developer Experience (DX). Design and implement scalable cloud infrastructure solutions. About You Basic Qualifications: 3+ years of experience in infrastructure, platform, or site reliability engineering. 3+ years of hands-on experience with GCP or equivalent cloud platforms, including managing production environments. 3+ years of experience with Kubernetes, including deployment, scaling, and operations. 3+ years of experience with infrastructure-as-code tooling, such as Terraform. 3+ years of experience designing and operating highly available, scalable, and reliable backend systems. 2+ years of experience coding backend applications, with a strong track record of writing reliable, maintainable services. Other Qualifications: Experience acting as an SRE, with a strong understanding of site reliability principles in production environments. Experience improving developer experience through internal tooling, CI/CD pipelines, and deployment automation. Familiarity with TypeScript in a backend context, enabling effective collaboration with product engineering teams. Experience with Postgres and Redis in production, including performance tuning and reliability practices. Experience supporting feature development teams with infrastructure decisions, reviews, and hands-on deployment support. Strong observability skills, including logging, metrics, alerting, and incident response. Ability to navigate ambiguity and drive infrastructure projects from concept to production. Strong communication skills, with the ability to partner effectively across engineering and product teams.